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Head-to-head · Query Engine Software

Amazon Athena vs PrestoDB

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Amazon Athena #4 in Query Engine Software 8.9/10 Paid ✓ 0 of 4 features Visit Amazon Athena
PrestoDB #8 in Query Engine Software 8.5/10 Open source ✓ 0 of 4 features Visit PrestoDB

Amazon Athena leads on 0 checks, PrestoDB on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon Athena · 8.9/10

Amazon Athena scores higher on our rubric for query engine software: 8.9 against 8.5 out of 10; our editors rank them #4 and #8.

Amazon Athena is the better fit for S3-centric serverless SQL. PrestoDB is the better fit for open-source heterogeneous data querying.

  • Amazon Athena fits best

    S3-centric serverless SQL

  • PrestoDB fits best

    Open-source heterogeneous data querying

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Side by side

Feature Amazon Athena 8.9/10 Visit ↗ PrestoDB 8.5/10 Visit ↗
At a glance
Editor score 8.9 8.5
Ranking #4 in Query Engine Software #8 in Query Engine Software
Best for S3-centric serverless SQL Open-source heterogeneous data querying
Pricing model Paid Free
Starting price $0.30/unit usage-based Open source
Free plan — Not checked yet
Free trial — —
Deployment Cloud Self-hosted
Platforms Web Web, macOS, Linux
Support Docs Community, Docs
Integrations 30+ integrations 17 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Amazon Athena 0/4 · PrestoDB 0/4
Federated queries Not checked yet Not checked yet
Heterogeneous sources Not checked yet Not checked yet
Result caching Not checked yet Not checked yet
Streaming sources Not checked yet Not checked yet
Specs
Deployment Cloud Not checked yet
SQL support Not checked yet Not checked yet
Source connectors Not checked yet Not checked yet
Our review
Pros
  • Queries Amazon S3 data with standard SQL without managing infrastructure
  • Supports federated queries across relational, non-relational, and custom sources
  • Includes Glue Catalog, JDBC/ODBC, Spark, and workgroup cost controls
  • Federates SQL queries across many catalogs and data systems
  • Cost-based optimization and resource groups support query control
  • Deploys through Docker, Homebrew, Helm, or tarballs
Cons
  • SQL queries are billed by data scanned rather than fixed user plans
  • Advanced governance depends on AWS services such as Lake Formation
  • Its broad AWS ecosystem may be more than narrow SQL use cases need
  • Self-hosted deployment requires teams to operate the cluster
  • It is a query engine, not a general-purpose relational database
  • Capabilities depend on available connectors and connected systems
Our verdict

Amazon Athena is a cloud-based, serverless query service for analysts, data engineers, developers, and organizations that need interactive analytics without managing query infrastructure. It uses standard SQL to query data stored in Amazon…

Read the review →

PrestoDB is an open-source, self-hosted distributed SQL query engine for analytics, interactive queries, batch workloads, and federated access to existing data systems. Its coordinator-and-worker architecture distributes query execution…

Read the review →
  1. Amazon AthenaQuery Engine Software 8.9Paid
  2. PrestoDBQuery Engine Software 8.5Open source

Strengths and trade-offs

  • Amazon Athena — where it wins

    • Queries Amazon S3 data with standard SQL without managing infrastructure
    • Supports federated queries across relational, non-relational, and custom sources
    • Includes Glue Catalog, JDBC/ODBC, Spark, and workgroup cost controls

    Where it doesn't

    • SQL queries are billed by data scanned rather than fixed user plans
    • Advanced governance depends on AWS services such as Lake Formation
    • Its broad AWS ecosystem may be more than narrow SQL use cases need
  • PrestoDB — where it wins

    • Federates SQL queries across many catalogs and data systems
    • Cost-based optimization and resource groups support query control
    • Deploys through Docker, Homebrew, Helm, or tarballs

    Where it doesn't

    • Self-hosted deployment requires teams to operate the cluster
    • It is a query engine, not a general-purpose relational database
    • Capabilities depend on available connectors and connected systems

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update